Jobs at Infinitive

Perform data risk analysis, support permissible purpose audits, design governance controls, map datasets to use cases, produce dashboards and documentation, and contribute to roadmaps identifying capability gaps.

Drive net-new and expansion sales for Databricks-focused data and AI solutions: identify target accounts, co-sell with Databricks, qualify opportunities, manage pipeline in Salesforce, lead discovery and proposals, coordinate technical teams, and close contracts across commercial and public sector clients.

Design, build, and maintain Logstash pipelines to ingest, parse, and enrich security logs using regex. Implement scalable source-to-target data architectures, manage AWS SQS/SNS event-driven messaging, and treat SIEM configurations as code with GitHub and Jenkins CI/CD. Analyze and troubleshoot Splunk ingestion and parsing, perform SQL-based validations and lookups, and collaborate in agile teams. Requires 3+ years in Security Engineering, Data Engineering, or DevSecOps.

Define and implement a unified Databricks platform architecture for scalable data access and governance, ensuring compliance and cost efficiency while mentoring teams.

Oversee and manage technology projects, ensuring delivery on time and within budget. Collaborate with teams, manage stakeholders, and integrate technologies effectively, while focusing on quality and risk management.

The Consultant, Business Analyst/Project Manager will support project delivery, leverage data for insights, manage client relationships, and aid in sales activities.

The Data Engineer will design, develop, and maintain data infrastructure, focusing on ETL processes, data architecture, and CI/CD pipelines, utilizing Python and PySpark.

The Senior Data Engineer will design and maintain scalable data pipelines and ETL processes using Databricks, integrate DevOps tools, and ensure data modeling adheres to best practices.

Senior Full Stack Engineer to design, build, and maintain scalable Node.js/TypeScript backends and React/TypeScript front-ends, integrate Snowflake/PostgreSQL, deploy AWS cloud-native applications, support production systems, perform root-cause analysis, and mentor junior engineers.

Lead a high-profile integration program for a financial services client: define program operating model and governance, assess and mitigate risks, align acquisitions tenant strategy with enterprise architecture, establish shared responsibility frameworks, synthesize technical progress into executive updates, and drive cultural integration and change management across multi-year delivery.

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.

Serve as a Product/Project Management consultant advising clients on strategy, process optimization, stakeholder engagement, KPI tracking, change management, and training. Develop roadmaps, plan and allocate resources, manage risks, and implement best practices to improve delivery and product outcomes. Conduct analyses, run workshops, and enable client teams to adopt sustainable product and project practices.